Image-to-Text
PyTorch
Safetensors
PEFT
English
remote-sensing
satellite-imagery
earth-observation
change-detection
visual-grounding
image-captioning
visual-question-answering
optical-sar-fusion
sar
multimodal
lora
Instructions to use thundercode/SatQuery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thundercode/SatQuery with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 4,027 Bytes
ccd0ae9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | STATUS claim artifact readme source ---------------------------------------------------------------------------------------------------------------------- MATCH change pooled IoU 0.8122 0.8122 artifacts/change/eval_test/eval_result.json#metrics.pooled.iou MATCH change macro IoU 0.8457 0.8457 artifacts/change/eval_test/eval_result.json#metrics.macro.miou MATCH change pooled F1 0.8964 0.8964 artifacts/change/eval_test/eval_result.json#metrics.pooled.f1 MATCH grounding canonical head_threshold mean_best_IoU 0.2838 0.2838 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.head_threshold.mean_best_iou MATCH grounding canonical head_threshold recall@0.5 0.2198 0.2198 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.head_threshold.recall.0.50 MATCH grounding matched6 head_threshold mean_best_IoU 0.2566 0.2566 artifacts/grounding/remoteclip_grounding_v001/eval_result_matched6.json#results.head_threshold.mean_best_iou MATCH grounding matched6 head_threshold recall@0.5 0.1938 0.1938 artifacts/grounding/remoteclip_grounding_v001/eval_result_matched6.json#results.head_threshold.recall.0.50 MATCH grounding head_argmax mean_best_IoU (canonical) 0.1215 0.1215 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.head_argmax.mean_best_iou MATCH grounding zero-shot baseline IoU (canonical) 0.0972 0.0972 artifacts/grounding/remoteclip_grounding_v001/eval_result_canonical.json#results.zero_shot_matched.mean_best_iou MATCH optical-SAR fusion accuracy 0.931 0.931 artifacts/optical_sar/fusion_head_production_v001/pre_registered_115_metric.json#accuracy MATCH optical-SAR fusion macro_F1 0.434161 0.434161 artifacts/optical_sar/fusion_head_production_v001/pre_registered_115_metric.json#macro_f1 MATCH change_vqa test accuracy 0.697626367 0.697626 artifacts/change_vqa/run/PROMOTION.json#verification.test_accuracy MATCH change_vqa test macro_F1 0.378373275 0.378373 artifacts/change_vqa/run/PROMOTION.json#verification.test_macro_f1 MATCH change_vqa test2 accuracy 0.651469262 0.651469 artifacts/change_vqa/run/PROMOTION.json#verification.test2_accuracy MATCH change_vqa test2 macro_F1 0.372308516 0.372309 artifacts/change_vqa/run/PROMOTION.json#verification.test2_macro_f1 MATCH router overall ungated accuracy 0.965116 0.965116 artifacts/router/threshold_sweep_val.json#overall_ungated_accuracy MATCH calibration ECE before scaling 0.013755 0.013755 artifacts/calibration_v001.json#metrics.ece_before MATCH calibration ECE after scaling 0.014929 0.014929 artifacts/calibration_v001.json#metrics.ece_after MATCH VLM adapter exact_match 0.963 0.963 artifacts/vlm/phase6_closure.json#why_usable_verified.adapted_test.exact_match MATCH VLM adapter F1 0.96432 0.96432 artifacts/vlm/phase6_closure.json#why_usable_verified.adapted_test.f1 === status assertions === VLM headline contains ACCEPTANCE-REJECTED : True VLM status : CLOSED router corpus_limited : True router n_val : 86 calibration temperature (temperature_scaling.temperature) : 0.9772731820958189 calibration ece_improvement : -0.001174 (negative => calibration did NOT help) RESULT: ALL CLAIMS VERIFIED |